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Kostas Margellos
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2020 – today
- 2024
- [j33]Georgios Pantazis, Filiberto Fele, Kostas Margellos:
A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria. Autom. 167: 111746 (2024) - [j32]Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano:
Tracking-Based Distributed Equilibrium Seeking for Aggregative Games. IEEE Trans. Autom. Control. 69(9): 6026-6041 (2024) - [c38]Luke Rickard, Alessandro Abate, Kostas Margellos:
Learning robust policies for uncertain parametric Markov decision processes. L4DC 2024: 876-889 - [c37]George Pantazis, Filiberto Fele, Filippo Fabiani, Sergio Grammatico, Kostas Margellos:
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling. L4DC 2024: 1702-1714 - [e1]Alessandro Abate, Mark Cannon, Kostas Margellos, Antonis Papachristodoulou:
6th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK. Proceedings of Machine Learning Research 242, PMLR 2024 [contents] - [i32]Han Wang, Kostas Margellos, Antonis Papachristodoulou, Claudio De Persis:
Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints. CoRR abs/2403.11763 (2024) - [i31]André Bertolace, Konstantinos Gatsis, Kostas Margellos:
Robust optimization for adversarial learning with finite sample complexity guarantees. CoRR abs/2403.15207 (2024) - [i30]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition. CoRR abs/2407.00414 (2024) - [i29]Nikolaus Vertovec, Kostas Margellos, Maria Prandini:
Finite sample learning of moving targets. CoRR abs/2408.04406 (2024) - [i28]Allan Andre do Nascimento, Antonis Papachristodoulou, Kostas Margellos:
Probabilistically safe controllers based on control barrier functions and scenario model predictive control. CoRR abs/2409.06834 (2024) - 2023
- [j31]Licio Romao, Kostas Margellos, Antonis Papachristodoulou:
Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints. Autom. 149: 110601 (2023) - [j30]Nikolaus Vertovec, Kostas Margellos:
State Aggregation for Distributed Value Iteration in Dynamic Programming. IEEE Control. Syst. Lett. 7: 2269-2274 (2023) - [j29]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Multi-objective low-thrust spacecraft trajectory design using reachability analysis. Eur. J. Control 69: 100758 (2023) - [j28]Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti:
On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents. IEEE Trans. Autom. Control. 68(1): 272-284 (2023) - [j27]Licio Romao, Antonis Papachristodoulou, Kostas Margellos:
On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints. IEEE Trans. Autom. Control. 68(4): 1986-2001 (2023) - [c36]Allan Andre do Nascimento, Antonis Papachristodoulou, Kostas Margellos:
A Game Theoretic Approach for Safe and Distributed Control of Unmanned Aerial Vehicles. CDC 2023: 1070-1075 - [c35]André Bertolace, Konstantinos Gatsis, Kostas Margellos:
Homomorphically Encrypted Gradient Descent Algorithms for Quadratic Programming. CDC 2023: 3844-3849 - [c34]Han Wang, Antonis Papachristodoulou, Kostas Margellos:
Distributed Safety Verification for Multi-Agent Systems. CDC 2023: 5481-5486 - [c33]George Pantazis, Barbara Franci, Sergio Grammatico, Kostas Margellos:
Distributionally robust stability of payoff allocations in stochastic coalitional games. CDC 2023: 7617-7622 - [i27]Nikolaus Vertovec, Kostas Margellos:
State Aggregation for Distributed Value Iteration in Dynamic Programming. CoRR abs/2303.10675 (2023) - [i26]Han Wang, Antonis Papachristodoulou, Kostas Margellos:
Distributed Control Design and Safety Verification for Multi-Agent Systems. CoRR abs/2303.12610 (2023) - [i25]George Pantazis, Barbara Franci, Sergio Grammatico, Kostas Margellos:
Distributionally robust stability of payoff allocations in stochastic coalitional games. CoRR abs/2304.01786 (2023) - [i24]André Bertolace, Konstantinos Gatsis, Kostas Margellos:
Homomorphically encrypted gradient descent algorithms for quadratic programming. CoRR abs/2309.01559 (2023) - [i23]Luke Rickard, Alessandro Abate, Kostas Margellos:
Learning Robust Policies for Uncertain Parametric Markov Decision Processes. CoRR abs/2312.06344 (2023) - [i22]George Pantazis, Filiberto Fele, Filippo Fabiani, Sergio Grammatico, Kostas Margellos:
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling. CoRR abs/2312.08573 (2023) - 2022
- [j26]Denis Lebedev, Paul Goulart, Kostas Margellos:
Gradient-bounded dynamic programming for submodular and concave extensible value functions with probabilistic performance guarantees. Autom. 135: 109897 (2022) - [j25]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities. Autom. 137: 110120 (2022) - [j24]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic Stabilizability Certificates for a Class of Black-Box Linear Systems. IEEE Control. Syst. Lett. 6: 584-589 (2022) - [j23]George Pantazis, Filippo Fabiani, Filiberto Fele, Kostas Margellos:
Probabilistically Robust Stabilizing Allocations in Uncertain Coalitional Games. IEEE Control. Syst. Lett. 6: 3128-3133 (2022) - [j22]George Pantazis, Filiberto Fele, Kostas Margellos:
On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty. Eur. J. Control 63: 186-195 (2022) - [j21]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
A time-triggered dimension reduction algorithm for the task assignment problem. Eur. J. Control 68: 100692 (2022) - [j20]Denis Lebedev, Kostas Margellos, Paul Goulart:
Convexity and Feedback in Approximate Dynamic Programming for Delivery Time Slot Pricing. IEEE Trans. Control. Syst. Technol. 30(2): 893-900 (2022) - [j19]Anmar I. Arif, Kostas Margellos:
Locating Parking Hubs in Free-Floating Ride Share Systems via Data-Driven Optimization. IEEE Trans. Intell. Transp. Syst. 23(8): 11621-11632 (2022) - [c32]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
Explicit Solutions for Safety Problems Using Control Barrier Functions. CDC 2022: 5680-5685 - [c31]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Verification of safety critical control policies using kernel methods. ECC 2022: 1870-1875 - [i21]George Pantazis, Filippo Fabiani, Filiberto Fele, Kostas Margellos:
Probabilistically robust stabilizing allocations in uncertain cooperative games. CoRR abs/2203.11322 (2022) - [i20]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Verification of safety critical control policies using kernel methods. CoRR abs/2203.12407 (2022) - [i19]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
Explicit Solutions for Safety Problems Using Control Barrier Functions. CoRR abs/2204.09380 (2022) - [i18]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
Safety Verification and Controller Synthesis for Systems with Input Constraints. CoRR abs/2204.09386 (2022) - [i17]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
A Time-Triggered Dimension Reduction Algorithm for the Task Assignment Problem. CoRR abs/2204.11476 (2022) - [i16]Han Wang, Xuda Ding, Jianping He, Kostas Margellos, Antonis Papachristodoulou:
Safety-Aware Optimal Control in Motion Planning. CoRR abs/2204.13380 (2022) - [i15]Han Wang, Kostas Margellos, Antonis Papachristodoulou:
Safe Controlled Invariance for Linear Systems Using Sum-of-Squares Programming. CoRR abs/2207.00321 (2022) - [i14]Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano:
Tracking-based distributed equilibrium seeking for aggregative games. CoRR abs/2210.14547 (2022) - [i13]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Safety-Aware Hybrid Control of Airborne Wind Energy Systems. CoRR abs/2212.07199 (2022) - [i12]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Multi-objective low-thrust spacecraft trajectory design using reachability analysis. CoRR abs/2212.07209 (2022) - 2021
- [j18]Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou:
Subgradient averaging for multi-agent optimisation with different constraint sets. Autom. 131: 109738 (2021) - [j17]Denis Lebedev, Paul Goulart, Kostas Margellos:
A dynamic programming framework for optimal delivery time slot pricing. Eur. J. Oper. Res. 292(2): 456-468 (2021) - [j16]Filiberto Fele, Kostas Margellos:
Probably Approximately Correct Nash Equilibrium Learning. IEEE Trans. Autom. Control. 66(9): 4238-4245 (2021) - [c30]Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti:
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems. CDC 2021: 5130-5135 - [c29]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Multi-objective minimum time optimal control for low-thrust trajectory design. ECC 2021: 1975-1980 - [c28]Licio Romao, Kostas Margellos, Antonis Papachristodoulou:
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples. L4DC 2021: 312-323 - [i11]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic stabilizability certificates for a class of black-box linear systems. CoRR abs/2103.02905 (2021) - [i10]Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Multi-objective minimum time optimal control for low-thrust trajectory design. CoRR abs/2103.08813 (2021) - [i9]Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti:
On the sensitivity of linear resource sharing problems to the arrival of new agents. CoRR abs/2109.13580 (2021) - 2020
- [c27]George Pantazis, Filiberto Fele, Kostas Margellos:
Agent independent probabilistic robustness certificates for robust optimization programs with uncertain quadratic cost. CDC 2020: 554-559 - [c26]Licio Romao, Kostas Margellos, Antonis Papachristodoulou:
Tight generalization guarantees for the sampling and discarding approach to scenario optimization. CDC 2020: 2228-2233 - [c25]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
On the robustness of equilibria in generalized aggregative games. CDC 2020: 3725-3730 - [i8]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
On the robustness of equilibria in generalized aggregative games. CoRR abs/2005.09408 (2020) - [i7]Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities. CoRR abs/2005.09420 (2020) - [i6]George Pantazis, Filiberto Fele, Kostas Margellos:
On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty. CoRR abs/2009.02706 (2020)
2010 – 2019
- 2019
- [j15]Alessandro Falsone, Kostas Margellos, Maria Prandini:
A decentralized approach to multi-agent MILPs: Finite-time feasibility and performance guarantees. Autom. 103: 141-150 (2019) - [j14]Luca Deori, Kostas Margellos, Maria Prandini:
Regularized Jacobi Iteration for Decentralized Convex Quadratic Optimization With Separable Constraints. IEEE Trans. Control. Syst. Technol. 27(4): 1636-1644 (2019) - [c24]Filiberto Fele, Kostas Margellos:
Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach. CDC 2019: 5026-5031 - [c23]Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou:
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. CDC 2019: 7448-7453 - [c22]Denis Lebedev, Paul Goulart, Kostas Margellos:
A Concave Value Function Extension for the Dynamic Programming Approach to Revenue Management in Attended Home Delivery. ECC 2019: 999-1004 - [i5]Filiberto Fele, Kostas Margellos:
Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach. CoRR abs/1903.10387 (2019) - [i4]Arman Karshenas, Kostas Margellos, Simone Garatti:
An incremental scenario approach for building energy management with uncertain occupancy. CoRR abs/1911.06733 (2019) - 2018
- [j13]Luca Deori, Kostas Margellos, Maria Prandini:
Price of anarchy in electric vehicle charging control games: When Nash equilibria achieve social welfare. Autom. 96: 150-158 (2018) - [j12]Alessandro Falsone, Kostas Margellos, Maria Prandini:
A Distributed Iterative Algorithm for Multi-Agent MILPs: Finite-Time Feasibility and Performance Characterization. IEEE Control. Syst. Lett. 2(4): 563-568 (2018) - [j11]Licio Romao, Kostas Margellos, Antonis Papachristodoulou:
Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm. IEEE Control. Syst. Lett. 2(4): 779-784 (2018) - [j10]Goran Banjac, Kostas Margellos, Paul J. Goulart:
On the Convergence of a Regularized Jacobi Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 63(4): 1113-1119 (2018) - [j9]Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini:
Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization. IEEE Trans. Autom. Control. 63(5): 1372-1387 (2018) - [j8]Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini:
Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks. IEEE Trans. Control. Netw. Syst. 5(3): 879-887 (2018) - 2017
- [j7]Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini:
Dual decomposition for multi-agent distributed optimization with coupling constraints. Autom. 84: 149-158 (2017) - [c21]Stefano Mutti, Alessandro Falsone, Kostas Margellos, Maria Prandini:
A proximal minimization based distributed approach to power control in wireless networks: Performance and comparative analysis. CDC 2017: 3513-3518 - [c20]Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini:
Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals. CDC 2017: 3853-3858 - 2016
- [j6]Nikolaos Kariotoglou, Kostas Margellos, John Lygeros:
On the computational complexity and generalization properties of multi-stage and stage-wise coupled scenario programs. Syst. Control. Lett. 94: 63-69 (2016) - [j5]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros:
A Scenario Approach for Non-Convex Control Design. IEEE Trans. Autom. Control. 61(2): 334-345 (2016) - [c19]Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini:
Proximal minimization based distributed convex optimization. ACC 2016: 2466-2471 - [c18]Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini:
Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization. CDC 2016: 1889-1894 - [c17]Luca Deori, Kostas Margellos, Maria Prandini:
On decentralized convex optimization in a multi-agent setting with separable constraints and its application to optimal charging of electric vehicles. CDC 2016: 6044-6049 - [c16]Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini:
Constrained optimal control of stochastic switched affine systems using randomization. ECC 2016: 2559-2554 - 2015
- [j4]Kostas Margellos, Maria Prandini, John Lygeros:
On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems. IEEE Trans. Autom. Control. 60(10): 2716-2721 (2015) - [c15]Kostas Margellos, Shmuel S. Oren:
A fuse control paradigm for demand side management: Formulation and stochastic pricing analysis. ACC 2015: 5672-5677 - 2014
- [j3]Kostas Margellos, Paul Goulart, John Lygeros:
On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems. IEEE Trans. Autom. Control. 59(8): 2258-2263 (2014) - [c14]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC 2014: 3431-3436 - [c13]Kostas Margellos, Maria Prandini, John Lygeros:
A compression learning perspective to scenario based optimization. CDC 2014: 5997-6002 - [i3]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach for non-convex control design. CoRR abs/1401.2200 (2014) - [i2]Kostas Margellos, Maria Prandini, John Lygeros:
On the connection between compression learning and scenario based optimization. CoRR abs/1403.0950 (2014) - [i1]Nikolaos Kariotoglou, Kostas Margellos, John Lygeros:
On the computational complexity and generalization properties of multi-stage and recursive scenario programs. CoRR abs/1412.4203 (2014) - 2013
- [j2]Kostas Margellos, John Lygeros:
Toward 4-D Trajectory Management in Air Traffic Control: A Study Based on Monte Carlo Simulation and Reachability Analysis. IEEE Trans. Control. Syst. Technol. 21(5): 1820-1833 (2013) - [c12]Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC 2013: 7740-7745 - [c11]Kostas Margellos, Vahab Rostampour, Maria Vrakopoulou, Maria Prandini, Göran Andersson, John Lygeros:
Stochastic unit commitment and reserve scheduling: A tractable formulation with probabilistic certificates. ECC 2013: 2513-2518 - [c10]Vahab Rostampour, Kostas Margellos, Maria Vrakopoulou, Maria Prandini, Göran Andersson, John Lygeros:
Reserve requirements in AC power systems with uncertain generation. ISGT Europe 2013: 1-5 - 2012
- [c9]Kostas Margellos, John Lygeros:
Revisiting the Viability Algorithm for Hybrid Systems Using Optimal Control. ADHS 2012: 25-32 - [c8]Göran Andersson, Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, André Teixeira, György Dán, Henrik Sandberg, Karl Henrik Johansson:
Cyber-security of SCADA systems. ISGT 2012: 1-2 - 2011
- [j1]Kostas Margellos, John Lygeros:
Hamilton-Jacobi Formulation for Reach-Avoid Differential Games. IEEE Trans. Autom. Control. 56(8): 1849-1861 (2011) - [c7]Ralph Burkart, Kostas Margellos, John Lygeros:
Nonlinear control of wind turbines: An approach based on switched linear systems and feedback linearization. CDC/ECC 2011: 5485-5490 - 2010
- [c6]Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, Göran Andersson:
Cyber attack in a two-area power system: Impact identification using reachability. ACC 2010: 962-967 - [c5]Kostas Margellos, John Lygeros:
Hamilton-Jacobi formulation for reach-avoid problems with an application to air traffic management. ACC 2010: 3045-3050 - [c4]Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, Göran Andersson:
A robust policy for Automatic Generation Control cyber attack in two area power network. CDC 2010: 5973-5978 - [c3]Kostas Margellos, John Lygeros:
A simulation based MPC technique for feedback linearizable systems with input constraints. CDC 2010: 7539-7544
2000 – 2009
- 2009
- [c2]Kostas Margellos, John Lygeros:
Air traffic management with target windows: An approach using reachability. CDC 2009: 145-150 - [c1]Dimitra Panagou, Kostas Margellos, Sean Summers, John Lygeros, Kostas J. Kyriakopoulos:
A viability approach for the stabilization of an underactuated underwater vehicle in the presence of current disturbances. CDC 2009: 8612-8617
Coauthor Index
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